Python: From None to Machine Learning
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Agenda

  • 1. Agenda

Agenda

  • 1.1. Python: Basics
  • 1.2. Python: Intermediate (level 1)
  • 1.3. Python: Intermediate (level 2)
  • 1.4. Python: Advanced
  • 1.5. Python: Design Patterns
  • 1.6. Python: Test Driven Development
  • 1.7. Python: DevOps, CI/CD
  • 1.8. Python: Performance Optimization
  • 1.9. Python: Data Science and Analysis
  • 1.10. Python: Numpy
  • 1.11. Python: Pandas
  • 1.12. Python: Microservices
  • 1.13. Python: Django
  • 1.14. Python: FastAPI
  • 1.15. Python: Flask
  • 1.16. Python: Graphical User Interface

Install

  • 1. Install
  • 2. Install Python
  • 3. Install Git
  • 4. Install Github
  • 5. Install IDE
  • 6. Install Project
  • 7. Install Doctest

Python Basics

  • 1. About
  • 2. Syntax
  • 3. Types
  • 4. Iterables
  • 5. Mappings
  • 6. Conditional
  • 7. Exception
  • 8. Loops
  • 9. Comprehensions
  • 10. Files
  • 11. Functions
  • 12. Object Oriented Programming
  • 13. Recap

Python Intermediate

  • 1. About
  • 2. Unpack
  • 3. Enum
  • 4. Match
  • 5. Type Annotation
  • 6. Dataclass
  • 7. JSON
  • 8. CSV
  • 9. Regular Expressions
  • 10. Datetime and Timezones
  • 11. Operator
  • 12. Modules and Packages
  • 13. Logging
  • 14. Mathematics
  • 15. Tests

Python Advanced

  • 1. About
  • 2. Syntax
  • 3. Generators
  • 4. Functional Programming
  • 5. Decorators
  • 6. Object Oriented Programming
  • 7. Protocols
  • 8. Performance
  • 9. Concurrency
  • 10. Recap

Database

  • 1. About
  • 2. Theory
  • 3. Normalization
  • 4. NoSQL
  • 5. SQL
  • 6. SQLite3
  • 7. SQLAlchemy
  • 8. Case Study

Design Patterns

  • 1. About
  • 2. UML
  • 3. Idiom
  • 4. Type Annotation
  • 5. Dataclass
  • 6. Operator
  • 7. Object Oriented Programming
  • 8. Protocols
  • 9. Decorators
  • 10. Behavioral
  • 11. Structural
  • 12. Creational
  • 13. Practices
  • 14. Paradigms

Numpy

  • 1. About
  • 2. Create
  • 3. Attributes
  • 4. Indexing
  • 5. Methods
  • 6. Random
  • 7. Operations
  • 8. Statistics
  • 9. Math
  • 10. Polynomial
  • 11. References

Pandas

  • 1. About
  • 2. Import & Export
  • 3. Series
  • 4. DataFrame
  • 5. Date
  • 6. Recap
  • 7. Case Studies

Matplotlib

  • 1. About
  • 2. Figure
  • 3. Style
  • 4. Chart
  • 5. Advanced
    • 5.1. Advanced Styling
    • 5.2. Basic customizations
    • 5.3. Size
    • 5.4. Font
    • 5.5. Subplots
    • 5.6. Multiple figures and plots
    • 5.7. Animation
      • 5.7.1. Further Reading
  • 6. Recap

Stdlib

  • 1. Modules and Packages
  • 2. Mathematics
  • 3. Locale
  • 4. Pickle
  • 5. XML
  • 6. Operating System
  • 7. Builtin
  • 8. Loop
  • 9. Performance
  • 10. TKInter

DevOps

  • 1. About
  • 2. Good Engineering Practices
  • 3. Tests
  • 4. Debugging
  • 5. Type Annotation
  • 6. CI/CD

Network

  • 1. About
  • 2. Protocols
  • 3. Web
  • 4. Transport

HTTP and Microservices

  • 1. About
  • 2. HTTP Protocol
  • 3. Microservices
  • 4. Auth

Django

  • 1. About
  • 2. Conf
  • 3. Models
  • 4. Admin
  • 5. Orm
  • 6. Views
  • 7. Utils
  • 8. API
  • 9. DevOps
  • 10. Async

FastAPI

  • 1. About
  • 2. FastAPI
  • 3. Pydantic
  • 4. Database
  • 5. Auth
  • 6. DevOps
  • 7. Use Cases
  • 8. Appendix

Data Science

  • 1. About
  • 2. Jupyter
  • 3. Python
  • 4. Data Visualization
  • 5. Scipy

Machine Learning

  • 1. About
  • 2. Introduction
  • 3. Sklearn
  • 4. Model Quality
  • 5. Decision Trees
  • 6. Regressions
  • 7. K-Nearest Neighbors
  • 8. Bayes
  • 9. Support Vector Machines
  • 10. Clustering
  • 11. Neural Networks
  • 12. References

Object Oriented Programming

  • 1. Paradigm
  • 2. Python
  • 3. Dynamic Typing

Blogposts

  • 1. Machine Learning Introduction

Dragon

  • 1. Dragon v1.0
  • 2. Dragon v2.0
  • 3. Dragon v3.0
  • 4. ADR Template
  • 5. Dragon ADR Init Name
  • 6. Dragon ADR Init Position
  • 7. Dragon ADR Position Set
  • 8. Dragon ADR Position Change
  • 9. Dragon ADR Damage Make
  • 10. Dragon ADR Damage Take
  • Writing Progress
  • References in the Book
  • Survey
  • Python History
  • 13.3. Further reading
Python: From None to Machine Learning
  • Docs »
  • 1. About »
  • 5.7. Animation
  • Edit on GitHub

5.7. Animation¶

5.7.1. Further Reading¶

  • https://www.youtube.com/watch?v=ZmYPzESC5YY

  • https://hardsoftlucid.wordpress.com/various-stuff/realtime-plotting/

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© Copyright 2023, CC-BY-SA-4.0, Matt Harasymczuk <matt@astrotech.io>, last update: 2023-03-19 Revision 348fd657.

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